Build Apps with Live Azure Data Lake Storage data in Adalo using CData Connect Cloud



Use CData Connect Cloud to integrate live Azure Data Lake Storage data into the Adalo platform and build custom mobile and web applications with real-time Azure Data Lake Storage data.

Adalo is a no-code platform used to build custom mobile and web applications without needing programming skills. It allows users to design interfaces, manage databases, and integrate functionality through simple drag-and-drop tools, making app development accessible and efficient. When combined with CData Connect Cloud, it provides access to Azure Data Lake Storage data to build custom applications and more.

This article explains how to use CData Connect Cloud to create a live connection to Azure Data Lake Storage and how to connect and access live Azure Data Lake Storage data from the Adalo platform.

Configure Azure Data Lake Storage connectivity for Adalo in CData Connect Cloud

To work with Azure Data Lake Storage data in Adalo, you need to connect to Azure Data Lake Storage from Connect Cloud, provide user access to the connection, and create an OData endpoint for Azure Data Lake Storage data.

Additionally, you need to generate a Personal Access Token (PAT) on the Settings page. Be sure to copy it down, as it serves as your password during authentication.

Follow the steps below to configure Azure Data Lake Storage connectivity for Adalo. For more information, see the Connections section of the Help documentation.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Azure Data Lake Storage" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Azure Data Lake Storage.

    Authenticating to a Gen 1 DataLakeStore Account

    Gen 1 uses OAuth 2.0 in Azure AD for authentication.

    For this, an Active Directory web application is required. You can create one as follows:

    1. Sign in to your Azure Account through the .
    2. Select "Azure Active Directory".
    3. Select "App registrations".
    4. Select "New application registration".
    5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
    6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
    7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

    To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

    • Schema: Set this to ADLSGen1.
    • Account: Set this to the name of the account.
    • OAuthClientId: Set this to the application Id of the app you created.
    • OAuthClientSecret: Set this to the key generated for the app you created.
    • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
    • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

    Authenticating to a Gen 2 DataLakeStore Account

    To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

    • Schema: Set this to ADLSGen2.
    • Account: Set this to the name of the account.
    • FileSystem: Set this to the file system which will be used for this account.
    • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
    • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Azure Data Lake Storage Connection page and update the User-based permissions.

Add a Azure Data Lake Storage OData endpoint to CData Connect Cloud

Once you're connected to Azure Data Lake Storage, create an OData endpoint for the desired table.

  1. Go to the OData page from the left panel. Click Add and select Connections from the Add Entity Set window.
  2. Select your Azure Data Lake Storage connection (for example, Azure Data Lake Storage1) and click Next.
  3. Select the table you want to use and click Confirm to create a new OData endpoint.
  4. Save the endpoint to connect Azure Data Lake Storage with Adalo in the next section.

With the connection and OData endpoint configured, you can connect to Azure Data Lake Storage data from Adalo.

NOTE: You can also do the same using the Virtual Datasets functionality in CData Connect Cloud. Refer to this YouTube link or our product documentation to learn more about the Virtual Datasets.

Build a custom app with Adalo

After configuring CData Connect Cloud, you can begin developing the Adalo app using Azure Data Lake Storage data.

  1. Click on CREATE NEW APP.
  2. Select Desktop Web App and click on Next.
  3. You can choose any template, but for testing purposes, we've chosen a Blank template.
  4. Finally, add an app name and choose a color scheme, and your app is ready to go!

Registering external collections

Adalo uses a data structure called Collection to manage app data and offers a feature called External Collections with APIs, which lets you seamlessly integrate Collection with external APIs. Use this feature to connect to Connect Cloud.

  1. After creating an app, you first need to register a Collection, which is a definition for handling data within the Adalo app. There are two types of Collections: Database Collections, which are like Adalo's own internal database, and External Collections, which allow access to external APIs. In this case, we will access an external API, registering it as an External Collection.
  2. On the External Collections registration screen, click on ADD COLLECTION to enter the collection name (any name of your choice), and provide the API base URL endpoint (OData endpoint registered on Connect Cloud). Make sure to add "/(table)" to the OData URL to access the specific endpoint. (Refer to the image given for reference)
  3. In order to authenticate, you need a base64 authorization header comprising your username and PAT, joined by a colon. For example, [email protected]:MY_PAT. You can use a scripting tool, web tool, or other application to create this header.

    Using Postman to generate the Authorization header

    1. Open the Postman application. Enter the OData URL mentioned in the previous step for a GET request on Postman. Click on the Authorization tab and select Auth Type as "Basic Auth". Enter the Username and Password as follows and click on Send:

      • Username: Connect Cloud Username
      • Password: PAT generated on Connect Cloud
    2. Go to the Headers tab and copy/save the value of the Authorization key.
  4. Back in Adalo, click on ADD ITEM and select Header.
  5. Enter the details in the Header section as follows:
    • Name: "Authorization"
    • Value: Authorization key value copied in the previous step
  6. Select Done and click on Next.
  7. Select Get All and enter "value" in the Results Key section. Click on Done and Next.
  8. Now, to test the API setup, click on RUN TEST. If you finally see the message and response shown below, the creation of External Collections is complete.

Creating a list screen

After configuring CData Connect Cloud, you can now begin developing the app on Adalo using Azure Data Lake Storage data.

  1. First, click the + button in the upper right corner of the Adalo screen to display the list screen, then drag and drop "Simple List" onto the screen.
  2. Once the layout is complete as shown below, link the External Collections definition you created earlier to What is this a list of?
  3. Click on "Add Magic Text" button (as shown) to add the "Title" and "Subtitle" to the data items you want to obtain.
  4. Now, click on View App in the top right corner of the screen and select Staging Preview.
  5. You can now view the Azure Data Lake Storage data in the app created on Adalo.

Live connections to Azure Data Lake Storage data from cloud applications

Adalo now allows you to connect to live Azure Data Lake Storage data directly, allowing you to create more connections and apps without duplicating Azure Data Lake Storage data.

To get real-time data access to over 100 SaaS, big data, and NoSQL sources directly from your cloud applications, visit CData Connect Cloud.

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